972 citations · 1k across the 9 of their papers we have counts for
14 papers
Calibration Meets Explanation: A Simple and Effective Approach for Model Confidence Estimates
Dongfang Li, Baotian Hu, Qingcai Chen
Calibration strengthens the trustworthiness of black-box models by producing better accurate confidence estimates on given examples. However, little is known about if model explana…
Prompt-based Text Entailment for Low-Resource Named Entity Recognition
Dongfang Li, Baotian Hu, Qingcai Chen
Pre-trained Language Models (PLMs) have been applied in NLP tasks and achieve promising results. Nevertheless, the fine-tuning procedure needs labeled data of the target domain, ma…
An Efficient Memory-Augmented Transformer for Knowledge-Intensive NLP Tasks
Yuxiang Wu, Yu Zhao, Baotian Hu +3
Access to external knowledge is essential for many natural language processing tasks, such as question answering and dialogue. Existing methods often rely on a parametric model tha…
GlyphCRM: Bidirectional Encoder Representation for Chinese Character with its Glyph
Yunxin Li, Yu Zhao, Baotian Hu +5
Previous works indicate that the glyph of Chinese characters contains rich semantic information and has the potential to enhance the representation of Chinese characters. The typic…
Multi-hop Graph Convolutional Network with High-order Chebyshev Approximation for Text Reasoning
Shuoran Jiang, Qingcai Chen, Xin Liu +2
Graph convolutional network (GCN) has become popular in various natural language processing (NLP) tasks with its superiority in long-term and non-consecutive word interactions. How…
You Can Do Better! If You Elaborate the Reason When Making Prediction
Dongfang Li, Jingcong Tao, Qingcai Chen +1
Neural predictive models have achieved remarkable performance improvements in various natural language processing tasks. However, most neural predictive models suffer from the lack…